Renamed to OptimizationLBFGSB

Author: ParamThakkar123

lib/OptimizationLBFGS/Project.toml renamed to lib/OptimizationLBFGSB/Project.toml

@@ -1,4 +1,4 @@
-name = "OptimizationLBFGS"
+name = "OptimizationLBFGSB"
 uuid = "22f7324a-a79d-40f2-bebe-3af60c77bd15"
 authors = ["paramthakkar123 <[email protected]>"]
 version = "0.1.0"

lib/OptimizationLBFGS/src/OptimizationLBFGS.jl renamed to lib/OptimizationLBFGSB/src/OptimizationLBFGSB.jl

@@ -1,4 +1,4 @@
-module OptimizationLBFGS
+module OptimizationLBFGSB
 
 using Optimization
 using DocStringExtensions

lib/OptimizationLBFGS/test/runtests.jl renamed to lib/OptimizationLBFGSB/test/runtests.jl

@@ -2,23 +2,23 @@ using OptimizationBase
 using OptimizationBase: ReturnCode
 using OptimizationBase.SciMLBase: OptimizationFunction, OptimizationProblem
 using ForwardDiff, Zygote
-using OptimizationLBFGS
+using OptimizationLBFGSB
 using MLUtils
 using LBFGSB
 using Test
 
-@testset "OptimizationLBFGS.jl" begin
+@testset "OptimizationLBFGSB.jl" begin
     x0 = zeros(2)
     rosenbrock(x, p = nothing) = (1 - x[1])^2 + 100 * (x[2] - x[1]^2)^2
     l1 = rosenbrock(x0)
 
     optf = OptimizationFunction(rosenbrock, OptimizationBase.AutoForwardDiff())
     prob = OptimizationProblem(optf, x0)
-    @time res = solve(prob, OptimizationLBFGS.LBFGS(), maxiters = 100)
+    @time res = solve(prob, OptimizationLBFGSB.LBFGS(), maxiters = 100)
     @test res.retcode == ReturnCode.Success
 
     prob = OptimizationProblem(optf, x0, lb = [-1.0, -1.0], ub = [1.0, 1.0])
-    @time res = solve(prob, OptimizationLBFGS.LBFGS(), maxiters = 100)
+    @time res = solve(prob, OptimizationLBFGSB.LBFGS(), maxiters = 100)
     @test res.retcode == ReturnCode.Success
 
     function con2_c(res, x, p)
@@ -29,7 +29,7 @@ using Test
     prob = OptimizationProblem(optf, x0, lcons = [1.0, -Inf],
         ucons = [1.0, 0.0], lb = [-1.0, -1.0],
         ub = [1.0, 1.0])
-    @time res = solve(prob, OptimizationLBFGS.LBFGS(), maxiters = 100)
+    @time res = solve(prob, OptimizationLBFGSB.LBFGS(), maxiters = 100)
     @test res.retcode == SciMLBase.ReturnCode.Success
 
     x0 = (-pi):0.001:pi
@@ -52,6 +52,6 @@ using Test
     l0 = optf(initpars, (x0, y0))
     prob = OptimizationProblem(optf, initpars, (x0, y0), lcons = [-Inf], ucons = [0.5],
         lb = [-10.0, -10.0, -10.0, -10.0, -10.0], ub = [10.0, 10.0, 10.0, 10.0, 10.0])
-    opt1 = solve(prob, OptimizationLBFGS.LBFGS(), maxiters = 1000, callback = callback)
+    opt1 = solve(prob, OptimizationLBFGSB.LBFGS(), maxiters = 1000, callback = callback)
     @test opt1.objective < l0
 end